Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and web site interaction data are all being collected and analyzed. In addition, as IT budgets are already being pressured down, Big Data footprints are getting larger and posing a huge storage challenge.
Capacity and performance to be scaled independently and can be continuously improved over time
The system design specifically targets real-life profiles and provides optimum performance under those conditions
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